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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop scalable Java microservices and full-stack applications using Spring Boot, React, and TypeScript.
Build, prototype, and productionize Generative AI and Agentic AI solutions with Python, Vertex AI, ADK, and related frameworks including agentic workflows and conversational UIs.
Ensure solutions deliver enterprise-level scalability, security, observability, cost efficiency, and mentor junior engineers while contributing to reusable engineering practices.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering or related discipline.
5–8 years of software engineering experience with strong enterprise application development background.
Strong hands-on experience with Java (JDK 17+), Spring Boot, microservices, React, TypeScript/JavaScript, Python for AI/GenAI development.
Experience with Google Cloud Platform (GCP), Kubernetes (GKE), Docker, relational and NoSQL databases.
Ideal Candidate Profile
Experienced in building and deploying production-grade AI/Agentic AI solutions from prototypes to production at scale.
Proficient full-stack engineer with a blend of backend (Java, microservices) and frontend (React, conversational UI widgets) expertise.
Capable of driving cloud-native development, optimizing performance and cost on GCP, and enforcing security and Responsible AI practices in production environments.